Results 41 to 50 of about 174,275 (197)
Poly-Bernoulli numbers and lonesum matrices
, 2011 A lonesum matrix is a matrix that can be uniquely reconstructed from its row and column sums. Kaneko defined the poly-Bernoulli numbers $B_m^{(n)}$ by a generating function, and Brewbaker computed the number of binary lonesum $m\times n$-matrices and ...
Arakawa +16 more
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Multicolor urn models with reducible replacement matrices [PDF]
, 2009 Consider the multicolored urn model where, after every draw, balls of the different colors are added to the urn in a proportion determined by a given stochastic replacement matrix.
Bose, Arup +2 more
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Extended Target Fast Labeled Multi-Bernoulli Filter [PDF]
Radioengineering, 2023 Focusing on the real-time tracking of the extended target labeled multi-Bernoulli (ET-LMB) filter, this paper proposes an extended target fast labeled multi-Bernoulli (ET-FLMB) filter based on beta gamma box particle (BGBP) and Gaussian process (GP ...
X. Cheng, H. Ji, Y. Zhang
doaj
Functional limit theorems for generalized variations of the fractional Brownian sheet [PDF]
, 2016 We prove functional central and non-central limit theorems for generalized variations of the anisotropic $d$-parameter fractional Brownian sheet (fBs) for any natural number $d$. Whether the central or the non-central limit theorem applies depends on the
Pakkanen, Mikko S., Réveillac, Anthony
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Axioms, 2023 In this paper, basing on the generating function for the van der Pol numbers, utilizing the Maclaurin power series expansion and two power series expressions of a function involving the cotangent function, and by virtue of the Wronski formula and a ...
Zhen-Ying Sun, Bai-Ni Guo, Feng Qi
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Monotonicity, asymptotic normality and vertex degrees in random graphs
, 2007 We exploit a result by Nerman which shows that conditional limit theorems hold when a certain monotonicity condition is satisfied. Our main result is an application to vertex degrees in random graphs, where we obtain asymptotic normality for the number ...
Janson, Svante
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Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
IEEE Access, 2020 Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
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About the posterior distribution in hidden Markov models with unknown number of states
, 2014 We consider finite state space stationary hidden Markov models (HMMs) in the situation where the number of hidden states is unknown. We provide a frequentist asymptotic evaluation of Bayesian analysis methods.
Gassiat, Elisabeth, Rousseau, Judith
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Multiple Maneuvering Targets Tracking Using MM-CBMeMBer Filter
Leida xuebao, 2012 The existing multiple model hypothesis density filter can estimate the number and state of maneuvering targets at the same time. Yet its Sequential Monte Carlo (SMC) implementation involves clustering algorithm, which is unstable and time consuming, and ...
Xiong Bo, Gan Lu
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Journal de théorie des nombres de Bordeaux, 1997 By using polylogarithm series, we define “poly-Bernoulli numbers” which generalize classical Bernoulli numbers. We derive an explicit formula and a duality theorem for these numbers, together with a von Staudt-type theorem for di-Bernoulli numbers and another proof of a theorem of Vandiver.
openaire +2 more sources